explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-07-19 04:32:32 +03:00
Code Issues Packages Projects Releases Wiki Activity

Remove unused code

Browse Source
This commit is contained in:
Paul O'Leary McCann 2021-07-11 18:46:39 +09:00
parent 447c7070e3
commit 80a17071d3
1 changed files with 0 additions and 21 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
spacy/pipeline/coref.py
View File

@ -344,27 +344,6 @@ class CoreferenceResolver(TrainablePipe):
assert len(X) > 0, Errors.E923.format(name=self.name)
self.model.initialize(X=X, Y=Y)
def alt_score(self, examples: Iterable[Example], **kwargs) -> Dict[str, Any]:
"""Score a batch of examples.
examples (Iterable[Example]): The examples to score.
RETURNS (Dict[str, Any]): The scores, produced by Scorer.score_coref.
DOCS: https://spacy.io/api/coref#score (TODO)
"""
def clusters_getter(doc, span_key):
return [
spans for name, spans in doc.spans.items() if name.startswith(span_key)
]
validate_examples(examples, "CoreferenceResolver.score")
kwargs.setdefault("getter", clusters_getter)
kwargs.setdefault("attr", self.span_cluster_prefix)
kwargs.setdefault("include_label", False)
return Scorer.score_clusters(examples, **kwargs)
# TODO consider whether to use this. It's pretty fast, but it'll be slower if
# we use all three methods like the original evaluator does. Also the current
# implementation, borrowed from the coval project, uses scipy, which we would